Leukotriene D4 Up-Regulates Furin Expression through CysLT1 Receptor Signaling
Bibliographic record
Abstract
Leukotriene (LT)D(4) is suggested to play a role in airway remodeling, which is characterized by fibrogenesis and airway smooth muscle cell hyperplasia. In this study, we investigated the effects of LTD(4) on the expression of furin, a proprotein convertase involved in the maturation/activation of several substrates implicated in the remodeling processes. HEK293 cells stably transfected with the CysLT1 receptor were used to study the transcriptional regulation of furin by LTD(4). Stimulation of the cells with LTD(4) resulted in a time- and concentration-dependent induction of furin mRNA and protein expression. The study of furin gene (fur) promoters P1, P1A, and P1B revealed a selective transactivation of the P1 promoter by LTD(4). Mutations in the activator protein (AP)-1-binding element of the P1 promoter resulted in the partial loss of transactivation by LTD(4). Binding of AP-1 transcription factor to fur P1 promoter after stimulation with LTD(4) was demonstrated by electrophoretic mobility shift assay, and supershift assays indicated the formation of c-Jun/c-Fos complexes. LTD(4) induced the maturation of the furin substrates membrane-type 1 matrix metalloproteinase and transforming growth factor-beta1, which was inhibited by the furin inhibitor alpha1-PDX. Finally, LTD(4) induced furin gene expression in monocytic THP-1 cells, which was abrogated using a selective CysLT1 receptor antagonist and inhibitors of the mitogen-activated protein kinases MEK-1, p38, and JunK. Our data show for the first time that LTD(4), via the CysLT1 receptor, can transcriptionally activate furin production with consequent maturation of furin substrates relevant to airway remodeling. These findings suggest that CysLT1 is involved in remodeling processes through modulation of furin transcription.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".